CN110507329B - Cervical vertebra posture monitoring method and system based on flexible bending sensor - Google Patents

Abstract

The invention relates to a sensor based on flexible bendingThe method for monitoring the cervical vertebra posture at least comprises the following steps: acquiring bending data of cervical vertebra based on a data acquisition unit attached to the back neck of a user; generating first alarm data to remind a user in a case where it is determined that the cervical vertebra posture is in an abnormal posture based on the bending data; the bend data includes at least first data RAW1_n+1And second data RAW2_n+1Wherein the first data RAW1 is in case of the cervical vertebrae being bent toward the first direction_n+1Increased and the second data RAW2_n+1Reduce, or in the case of a cervical spine bent in a second direction, the first data RAW1_n+1Decrease and the second data RAW2_n+1Increasing; the first alarm data is based on the first data RAW1_n+1And the second data RAW2_n+1The determination condition determined in common is generated when the determination condition is satisfied.

Description

A method and system for cervical spine posture monitoring based on flexible bending sensor

technical field

The invention belongs to the technical field of medical and health, and in particular relates to a cervical spine posture monitoring method and system based on a flexible bending sensor.

Background technique

In today's fast-developing world, people spend more and more time in contact with electronic devices such as mobile phones, computers, and tablets, and the age and gender of the users are becoming more and more extensive. However, due to the frequent use of these devices in poor cervical posture, the People's cervical spine has various health problems, such as cervical spine pain caused by common abnormal cervical curvature. In real life, most people know that the posture of the cervical spine should be kept correct, but it is difficult for people to correct their cervical posture at all times. Therefore, there is an urgent need for a monitoring method or system that can alert the user when the cervical spine posture is poor.

Many systems can monitor the posture of the cervical spine. Xsens MVN is a cost-effective full-body human motion capture system. It is an IMU-based system that uses biomechanics and sensor fusion technology to capture human motion. Due to its large size and complex wearing, Not suitable for everyday use. Paul P. Breen et al. studied a uniaxial acceleration real-time cervical spine posture correction system. After 6 experimenters wore this device, the time of poor cervical posture was reduced by 82%. Yingying Wang et al. developed a smart wearable device that can detect the posture of the cervical spine. It is a device that fits on the forehead. The three-axis acceleration sensor inside the device obtains the posture data of the cervical spine in real time. The posture accuracy of five testers is 100%. The above-mentioned acceleration sensor measures the posture of the cervical vertebra relative to the ground, and the posture angle of the cervical vertebra depends on the acceleration of gravity. If the human torso does not coincide with the gravity line, a large error will be caused. Worawat Lawanont et al. proposed a method of using a mobile phone angle sensor and a front-facing camera to obtain the posture of the cervical spine. Taking the earth as the reference frame, the angle of the human face relative to the mobile phone is calculated by the facial image, and the angle of the mobile phone relative to the ground is calculated by the angle in the mobile phone. The sensor is used to obtain the user's cervical spine posture by combining the inclination of the human face and the inclination of the mobile phone relative to the ground. The experimental results show that the user's head bending error does not exceed 4°. For example, the patent document with the publication number CN107273823A discloses a neck posture monitoring method based on the fusion of sensors and image processing, which is specifically implemented according to the following steps: Step 1: Determine whether the user is using a mobile terminal, then go to Step 2, otherwise Go to step 1; step 2: use the three-axis acceleration sensor to collect the angle between the long axis of the mobile terminal and the heavy vertical line, that is, the inclination angle β of the mobile terminal; step 3: image the face image captured by the front camera of the mobile terminal Process, calculate the face angle FaceAngle of the user relative to the screen of the mobile terminal; Step 4: Calculate the neck bending angle α according to the inclination angle β of the mobile terminal in step 2 and the face angle FaceAngle of the user in step 3 relative to the screen of the mobile terminal; Step 5 : According to the size of the neck bending angle α, the neck posture is classified based on the rules, and the incorrect neck posture is warned in real time. The inventive method can monitor the user's neck posture in real time, and give real-time early warning to the unhealthy neck posture. The patent document with publication number CN109938739A discloses a cervical vertebra monitoring device, which includes: an acceleration signal acquisition module, a data processing module, a control module and a wireless communication module; the acceleration signal acquisition module is located on the user's forehead and is used for real-time acquisition of the user's head The input terminal of the data processing module is connected to the output terminal of the acceleration signal acquisition module, and is used to determine the rotation of the user's head according to the average absolute value of the three-axis acceleration when the user's neck posture type is the head-down type. angle; when the rotation angle of the user's head is greater than or equal to the first threshold and less than the second threshold, determine that the user's neck posture is slightly bowed head; when the rotation angle of the user's head is greater than or equal to the second threshold, determine the user's neck posture The neck posture is a heavy bow, and a reminder message is sent to the user. Through the technical solution of the present invention, real-time and continuous monitoring of the posture of the user's cervical vertebrae can be realized, and a reminder can be given. A cervical vertebra health monitor and a monitoring method disclosed in the patent document with the publication number of CN109350068A, the instrument comprises a casing, a switch button and an adhesive layer are arranged on the casing, an angle detection module is arranged in the casing, and an angle detection module is connected to the angle detection module. Angle processing module, oscillation module, power supply module and voice prompt module. The cervical vertebra health monitor of the present invention solves the problem in the prior art that various physical therapy instruments for cervical vertebral diseases only have the function of treatment, but not the function of early warning and monitoring. After the electronic device, the head will be lowered unconsciously, causing the cervical spine to tilt forward. If the cervical spine is kept forward for a long time, the cervical spine will be fatigued and eventually lead to cervical spine disease. Through the invention of the cervical spine health monitor, the instrument will vibrate when the user bows his head. , prompting users to adjust their posture, so as to monitor, prevent and treat cervical spine diseases.

However, the above cervical vertebra monitoring device and monitoring method depend on the angular velocity sensor and the angle of the human face relative to the mobile phone, and the angular velocity sensor has high power consumption and the angle error of the human face relative to the mobile phone will vary with the user's habit of using the mobile phone. There's a big difference and it's hard to actually use it. In the cervical spine posture monitoring system based on the flexible bending sensor of the present invention, the flexible bending sensor has the characteristics of low power consumption of the accelerometer, will not be affected by the error caused by the body torso not overlapping the gravity line, and is easy to use and carry.

In addition, on the one hand, there are differences in the understanding of those skilled in the art; on the other hand, because the inventor has studied a large number of documents and patents when making the present invention, but the space limit does not list all the details and contents in detail, but this is by no means The present invention does not possess the features of the prior art, on the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art.

SUMMARY OF THE INVENTION

The term "module" as used herein describes any hardware, software, or combination of hardware and software capable of performing the functions associated with the "module."

In view of the deficiencies of the prior art, the present invention provides a method for monitoring the posture of the cervical vertebra based on a flexible bending sensor, which at least includes the following steps: obtaining the bending data of the cervical vertebra based on a data collector attached to the back of the user's neck to determine the posture of the cervical vertebra, When the human cervical spine is tilted forward or backward, the data collector can generate bending deformation based on the fit with the back neck of the human body, and obtain the bending data based on the bending deformation, wherein the data collector It can be in contact with the back neck corresponding to all vertebral bodies, so that the shape of the data collector after bending and deformation can roughly match the bending shape of the human cervical spine; in the case of determining that the posture of the cervical spine is abnormal based on the bending data , generate first alarm data to remind the user, wherein, in the case that the human cervical spine is tilted forward or backward so that the head offset angle is greater than the set angle, it is determined that the posture of the cervical spine is in an abnormal posture, and the bending data includes at least the first Data RAW1 _n+1 and second data RAW2 _n+1 , wherein in the case where the cervical vertebrae are bent in the first direction to offset the head, the first data RAW1 _n+1 increases and the second data RAW1 n+1 increases RAW2 _n+1 is reduced, or in the case that the cervical spine is bent in a second direction opposite to the first direction to cause a deviation of the head, the first data RAW1 _n+1 is reduced and the second data RAW2 _n+1 increases; the first warning data is generated when the determination condition jointly determined based on the first data RAW1 _n+1 and the second data RAW2 _n+1 is satisfied.

According to a preferred embodiment, the determination of the determination condition includes at least the following steps: respectively determining the first average value LTA1 of the first data RAW1 _n+1 and the second average value LTA2 of the second data RAW2 _n+1 based on the first calculation formula ; Determine the first filtered data FD1 of the first data RAW1 _n +1 after the filtering process and the second filtered data FD2 of the second data RAW2 _n+1 after the filtering process based on the second calculation formula; Based on the third calculation The formula determines the first dynamic threshold DTA1 and the second dynamic threshold DTA2 respectively.

其中，LTA_n+1表示截止当前时刻的第一数据或第二数据的平均值，LTA_n表示截止上一时刻的第一数据或第二数据的平均值。According to a preferred embodiment, the first calculation formula is

Wherein, LTA _n+1 represents the average value of the first data or the second data up to the current moment, and LTA _n represents the average value of the first data or the second data up to the previous moment.

According to a preferred embodiment, the second calculation formula is FD _n+1 =FD _n *(β-1)+RAW _n+1 *β, wherein FD _n+1 represents the first data or the first data at the current moment The filtered data of the second data. FD _n represents the filtered data of the first data or the second data at the previous moment, and β is a filter coefficient; the third calculation formula is DTA=LTA+Delta, where Delta is an empirical parameter.

According to a preferred embodiment, the cervical spine posture monitoring method further includes the following steps: based on the first calculation formula, the second calculation formula and the third calculation formula, according to the interval setting period The first average value LTA1, the second average value LTA2, the first filtering data FD1, the second filtering data FD2, the first dynamic threshold value DTA1, and the second dynamic threshold value DTA2 are updated; When the filtered data FD1 is smaller than the first dynamic threshold DTA1, and the second filtered data FD2 is greater than the second dynamic threshold DTA2, first alarm data is generated; or when the second filtered data FD2 is smaller than the second dynamic threshold DTA2 When the second dynamic threshold DTA2 is set, and the first filtered data FD1 is greater than the first dynamic threshold DTA1, first alarm data is generated.

According to a preferred embodiment, the data collector at least includes an electrode patch, a first bending sensor and a second bending sensor, and the first bending sensor and the second bending sensor can be greater than the distance between the first bending sensor and the electrode patch. The second bending sensor is arranged on the first surface of the electrode patch in the manner of the distance between the sensor and the electrode patch, wherein: the second surface of the electrode patch is configured to have an adhesive working mode, so that the electrode patch can be attached to the The back of the user's neck.

According to a preferred embodiment, the bending data further includes the real-time bending curvature m of the cervical spine, and the cervical spine posture monitoring method further includes the following steps: configuring a display terminal for outputting the real-time bending curvature m, so that the user can In the process of switching the cervical spine posture from the abnormal posture to the standard posture in response to the first alarm data, the difference between the current cervical posture and the standard posture can be determined based on the real-time bending curvature m, and when using The second alarm data is generated when the time the user is in the standard attitude is less than the set threshold.

The present invention also provides a cervical spine posture monitoring system based on a flexible bending sensor, which at least includes: a data collector, which is attached to the back of the user's neck to obtain the bending data of the cervical spine; a processor, which determines the cervical spine posture based on the bending data. In the case of an abnormal posture, first alarm data is generated to remind the user; the data collector at least includes a first bending sensor for collecting the first data RAW1 _n+1 and a first bending sensor for collecting the second data The second bending sensor of RAW2 _n+1 , the data collector is configured to increase the first data RAW1 _n+1 and decrease the second data RAW2 _n+1 when the cervical spine is bent in the first direction small, or when the cervical vertebrae are curved toward the second direction, the first data RAW1 _n+1 decreases and the second data RAW2 _n+1 increases; the first alarm data generated by the processor is based on It is generated when the common determination condition of the first data RAW1 _n+1 and the second data RAW2 _n+1 is satisfied.

According to a preferred embodiment, the processor is configured to determine the determination condition as follows: determine the first average value LTA1 of the first data RAW1 _n+1 and the average value of the second data RAW2 _n+1 based on a first calculation formula, respectively. the second average LTA2; the first filtered data FD1 after the filtering of the first data RAW1 _n+1 and the second filtered data FD2 after the filtering of the second data RAW2 _n+1 are respectively determined based on the second calculation formula; The first dynamic threshold DTA1 and the second dynamic threshold DTA2 are respectively determined based on the third calculation formula.

According to a preferred embodiment, the cervical spine posture monitoring system further includes a data sampling circuit connected to the data collector and including at least an analog-to-digital converter and a voltage follower, the data collector and the data sampling circuit are based on The connection is as follows: the voltage follower is arranged in series between the data collector and the analog-to-digital converter to reduce the degree of influence of the input impedance of the analog-to-digital converter on data sampling.

Beneficial technical effects of the present invention: the present invention adopts a flexible bending sensor with low power consumption characteristics of an accelerometer, and will not be affected by errors caused by the fact that the human body does not coincide with the gravity line in the process of monitoring the cervical vertebra, and at the same time Easy to use and carry. At the same time, the judgment condition determined by the first data and the second data can greatly improve the accuracy of cervical vertebra abnormality judgment. Under the experimental conditions, the accuracy of determining the abnormality of the cervical vertebra of the present invention is 100%.

Description of drawings

FIG. 1 is a schematic diagram of the docking structure of the preferred first bending sensor and the second bending sensor of the present invention;

2 is a schematic structural diagram of a preferred data sampling circuit of the present invention;

3 is a schematic diagram of the modular structure of the preferred cervical spine posture monitoring system of the present invention; and

Fig. 4 is a schematic diagram of the preferred cervical vertebra of the present invention in a standard posture.

List of reference signs

1: Electrode patch 2: First bending sensor 3: Second bending sensor

4: Data sampling circuit 5: Processor 6: Dual bending sensor amplifier module

7: Power management module 8: Vibration reminder/LED module 9: Bluetooth low energy module

10: Data reset module 11: Display terminal 1a: Second surface

1b: first surface 4a: analog-to-digital converter 4b: voltage follower

α: Skull bending angle

Detailed ways

The following detailed description is given in conjunction with the accompanying drawings.

As shown in FIG. 1 , the present invention provides a cervical spine posture monitoring system based on a flexible bending sensor, which at least includes a data collector having an electrode patch 1 , a first bending sensor 2 and a second bending sensor 3 . The electrode patch 1 is used as a carrier substrate, and both the first bending sensor 2 and the second bending sensor 3 are arranged on the electrode patch 1 . The electrode patch 1 has adhesiveness, so that the first bending sensor 2 and the second bending sensor 3 can monitor the degree of curvature of the cervical vertebra by pasting the electrode patch 1 on the back of the human body. The curvature data of the cervical spine can be obtained by fitting the data collector to the back of the user's neck. The warp data includes at least first data RAW1 _n+1 and second data RAW2 _n+1 . Specifically, the shape of the electrode patch 1 is defined by an elongated shape, and has a second surface 1a and a first surface 1b. The second surface 1a is configured to have an adhesive working mode, so that the second surface 1a can be adhered to the nape of the human body. For example, a double-sided tape may be provided on the second surface 1a to make the second surface 1a sticky. The respective resistances of the first bending sensor 2 and the second bending sensor 3 can both increase as their bending degrees increase. For example, the first bending sensor 2 and the second bending sensor 3 can use the flexible bending sensor of SpectraSybol Company, the flexible bending sensor is a passive resistance type sensor, which is made of conductive material evenly spread on the surface of the flexible substrate, Make it able to withstand bending, vibration, thermal shock. When the conductive material applied to the surface of the flexible substrate is stretched, the gap increases, thereby increasing its resistance.

Preferably, the first bending sensor 2 and the second bending sensor 3 can be arranged on the electrode patch 1 in such a way that the distance between the first bending sensor 2 and the electrode patch 1 is greater than the distance between the second bending sensor 3 and the electrode patch 1 on the first surface 1b. Specifically, the respective shapes of the first bending sensor 2 and the second bending sensor 3 may be the same as the shape of the electrode patch 1, so that the first bending sensor 2 and the second bending sensor 3 can be arranged on the electrode patch in a manner of overlapping with each other. 1 on the first surface 1b. The overlapping of the first bending sensor 2 and the second bending sensor 3 means that one surface of each of the first bending sensor 2 and the second bending sensor 3 is adhered to each other so that the two form an integral structure that works synchronously. Since the first bending sensor 2 or the second bending sensor 3 can only measure the degree of bending in a single direction when used alone. In the present invention, the first bending sensor 2 and the second bending sensor 3 are attached back to back to form a whole for use, so that the bending degree in the forward and backward directions of the cervical vertebra can be measured. When the cervical spine of the human body is tilted forward or backward so that the head offset angle is greater than the set angle, it is determined that the posture of the cervical spine is in an abnormal posture. For example, the set angle may be 30°. In the case where the cervical vertebra is curved in the first direction, the first data RAW1 _n+1 is increased and the second data RAW2 _n+1 is decreased, or in the case where the cervical vertebra is curved in the second direction, the first data RAW1 _n+1 decreases and the second data RAW2 _n+1 increases. For example, as shown in FIG. 1 , the first direction refers to the direction in which the cervical spine is tilted forward. The second direction refers to the direction in which the cervical spine is tilted back. The distance between the first bending sensor 2 and the skin of the nape is greater than the distance between the second bending sensor 3 and the skin of the nape, so that the first bending sensor 2 can be used to collect the first data RAW1 _n+1 , and the second bending sensor 3 can be used to acquire the second data RAW2 _n+1 . When the cervical vertebra is in an anteverted posture, the first bending sensor 2 is in a compressed state, and the second bending sensor 3 is in a tensile state, and then the degree of curvature of the cervical vertebra in the anteverted direction can be obtained through the resistance value of the second bending sensor 3 . When the cervical spine is in a backward posture, the first bending sensor 2 is in a stretched state, and the second bending sensor 3 is in a compressed state, and then the degree of curvature of the cervical spine in the backward direction can be obtained through the resistance value of the first bending sensor 2 .

Preferably, as shown in FIG. 2 , the cervical spine posture monitoring system further includes a data sampling circuit 4 . The data sampling circuit 4 is connected to both the first bending sensor 2 and the second bending sensor 3 , so that the data sampling circuit 4 can output the resistance value of the first bending sensor 2 or the second bending sensor 3 . Specifically, the data sampling circuit 4 includes at least an analog-to-digital converter 4a and a voltage follower 4b. The voltage follower 4b is arranged in series between the data collector and the analog-to-digital converter 4a. For example, the respective output terminals of the first bending sensor 2 and the second bending sensor 3 are connected to the input terminal of the voltage follower 4b, and the output terminal of the voltage follower 4b is connected to the input terminal of the analog-to-digital converter 4a. The output terminal of the digital converter 4a outputs the resistance value. By connecting the voltage follower 4b in series in the circuit composed of the first bending sensor 2, the second bending sensor 3 and the analog-to-digital converter 4a, the influence of the input impedance of the analog-to-digital converter 4a on data sampling can be reduced, so that the output impedance is infinitely close to at zero.

Preferably, as shown in FIG. 3 , the cervical spine posture monitoring system further includes a processor 5 and a dual-channel bending sensor amplification module 6 . The processor 5 is connected to the data sampling circuit 4 via the two-way bending sensor amplification module 6 . The resistance value signal output by the data sampling circuit can be placed to a desired amplitude value through the dual-channel bending sensor amplifying module 6 . The resistance value signal amplified to the set amplitude value can be processed in the processor 5 to obtain the curvature of the spine, and the data processed by the processor 5 can be transmitted to a mobile device such as a mobile phone or a computer. For example, the processor 5 may use an nRF52832 type chip.

Preferably, the cervical spine posture monitoring system further includes a power management module 7 , a vibration reminder/LED module 8 and a low-power bluetooth module 9 . The power management module 7 , the vibration reminder/LED module 8 and the Bluetooth low energy module 9 are all connected to the processor 5 . The power management module 7 is used to supply power to each electronic module. The vibration reminder/LED module 8 is used to remind the user by means of vibration or flashing light when the spine is in an abnormal state. The Bluetooth low energy module 9 is used to transmit the data processed by the processor 5 to a mobile device such as a computer.

Preferably, the cervical posture monitoring system further includes a data reset module 10 connected to the processor 5 . The data reset module is used to zero the data in the processor 5 so that multiple measurements can be made for different users. For example, when the user of the cervical spine posture monitoring system needs to be changed from the first patient to the second patient, the data reset module 10 can be used to clear all the data about the first patient in the cervical posture monitoring system, so as to avoid data interference to the second patient. Two patients cause interference.

Example 2

This embodiment is a further improvement to Embodiment 1, and repeated content will not be repeated.

Preferably, the present invention also provides a cervical spine posture monitoring method based on a flexible bending sensor, which at least includes the following steps:

S1: Acquire the first data RAW1 _n+1 collected by the first bending sensor 2 at the current moment, and the second data RAW2 _n+1 collected by the second bending sensor 3 at the current moment.

Specifically, the data sampling circuit 4 can continuously acquire the first data RAW1 _n+1 and the second data RAW2 _n+1 according to the set sampling frequency. The sampling frequency of the data sampling circuit 4 can be formulated according to actual requirements, for example, the sampling frequency can be set to 100 Hz. The first data RAW1 _n+1 and the second data RAW2 _n+1 can be transmitted to the processor 5 via the data sampling circuit 4 for arithmetic processing.

S2: The first alarm data is generated when the jointly determined determination condition based on the first data RAW1 _n+1 and the second data RAW2 _n+1 is satisfied, wherein the determination of the determination condition includes at least the following steps:

S20: Determine the first average value LTA1 based on the first data RAW1 _n+1 , and determine the second average value LTA2 based on the second data RAW2 _n+1 .

其中，LTA_n+1表示截止当前时刻的第一数据或第二数据的平均值，LTA_n表示截止上一时刻的第一数据或第二数据的平均值。当前时刻和上一时刻可以按照数据采样电路4的采样频率或采样个数进行确定。例如，当采样频率为A时，即每一秒的采样个数为A，则上一时刻是指相对于当前时刻的上一秒。Specifically, the first calculation formula of the first average value LTA1 and the second average value LTA2 is:

Wherein, LTA _n+1 represents the average value of the first data or the second data up to the current moment, and LTA _n represents the average value of the first data or the second data up to the previous moment. The current moment and the previous moment can be determined according to the sampling frequency or the number of samples of the data sampling circuit 4 . For example, when the sampling frequency is A, that is, the number of samples per second is A, the last moment refers to the last second relative to the current moment.

S21: Determine the filtered first filtered data FD1 based on the first data RAW1 _n+1 , and determine the filtered second filtered data FD2 based on the second data RAW2 _n+1 .

Specifically, the filtering process can be performed by a filter. For example, an IIR filter may be provided in the processor 5 in an integrated manner, and then the first-order filtering processing of the first data RAW1 _n+1 and the second data RAW2 _n+1 may be implemented by the IIR filter. The second calculation formula of the first filtered data FD1 and the second filtered data FD2 is: FD _n+1 =FD _n *(β-1)+RAW _n+1 *β, wherein, FD _n+1 represents the first filter at the current moment. The filtered data of the first data or the second data. FD _n represents the filtered data of the first data or the second data at the previous moment. β is the filter coefficient and its value can be set to 0.01.

S22: Determine the first dynamic threshold DTA1 based on the first average value LTA1, and determine the second dynamic threshold value DTA2 based on the second average value LTA.

Specifically, the third calculation formula of the first dynamic threshold DTA1 and the second dynamic threshold DTA2 is: DTA=LTA+Delta. Due to the difference between the first bending sensor 2 and the second bending sensor 3, its respective first dynamic threshold value DTA1 and second dynamic threshold value DTA2 need to be calculated respectively. For example, the first dynamic threshold DTA1 corresponds to the first bending sensor 2, and when the first dynamic threshold DTA1 needs to be calculated, DTA1=LTA1+Delta1. The second dynamic threshold DTA2 corresponds to the second bending sensor 3. When the second dynamic threshold DTA2 needs to be calculated, DTA2=LTA2+Delta2. Delta is an empirical parameter, which can be specifically set according to the actual situation. For example, both Delta1 and Delta2 can be set to 1000.

S3: Based on the first calculation formula, the second calculation formula and the third calculation formula, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filtered data FD2, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filtered data FD2, the first average value LTA1, the second average value LTA2, the The dynamic threshold DTA1 and the second dynamic threshold DTA2 are updated, wherein the distance between the first bending sensor 2 and the skin of the back of the neck is smaller than the distance between the second bending sensor 3 and the skin of the back of the neck, and the first filtered data FD1 is smaller than the first. When a dynamic threshold value DTA1 is set, and the second filter data FD2 is greater than the second dynamic threshold value DTA2, the first alarm data is generated. Alternatively, when the distance between the first bending sensor 2 and the nape of the neck is greater than the distance between the second bending sensor 3 and the nape of the neck, the second filtered data FD2 is less than the second dynamic threshold DTA2, and the first filtered data FD1 is greater than In the case of the first dynamic threshold DTA1, first alarm data is generated.

Specifically, the set period may be determined according to the sampling frequency of the data sampling circuit 4 . For example, the set period can be set to 1 second. The processor 5 may be configured to perform the above processing and generate the first alarm data. The generated first alarm data can be transmitted to the vibration reminder/LED module 8, and then trigger the vibration reminder/LED module 8 to generate vibration or flash. The cervical vertebra posture monitoring system of the present invention can at least produce the following technical effects: firstly, the volume is small and easy to carry. This system uses a small circuit board and electrodes attached with sensors, which can be easily worn and stored at any time. The two can detect the change of the user's cervical spine posture in real time, and remind the bad cervical spine posture in real time, which is beneficial to protect the user's cervical spine health and prevent the formation of cervical spondylosis. Third, compared with the cervical spine posture determination system for medical use, the cost of the system is greatly reduced.

Example 3

This embodiment is a further improvement to the previous embodiment, and repeated content will not be repeated.

其中，当第一弯曲传感器2更靠近颈部皮肤的情况下，ΔR₁表示第二弯曲传感器3的相对于上一时刻的电阻值变化量，ΔR₂表示第一弯曲传感器2的相对于上一时刻的电阻值变化量。K_s表示第一弯曲传感器2和第二弯曲传感器3的灵敏度系数。R表示第一弯曲传感器2和第二弯曲传感器3在未弯曲状态的初始电阻值。通过显示终端11对弯曲数据进行输出展示至少能够达到如下技术效果：一者，现有技术的颈椎姿态监测系统能够在监测到人体脊椎产生过度弯曲变形时，通过报警的方式提醒用户及时改变，此时用户在改变颈椎姿态时会按照常见的例如是左右摆头、上下摆头等扭脖子动作，在此过程中，用户无法明确其调整后的颈椎姿态与颈椎的标准姿态之间的差异。例如，如图4所示，人体颈椎由C1～C7椎体构成，临床上将位于最下方的C7椎体作为定位标记。当头颅弯曲角度α等于30°时，颈椎处于标准姿态。头颅弯曲角度α大于或小于30°时，颈椎出于异常姿态。当用户处于不同坐姿并且通过扭脖子动作以实现颈椎姿态的改变时，可能导致头颅弯曲角度α出现远小于或远大于30°的情况下，从而导致颈椎仍处于过度弯曲的状态，进而达不到纠正颈椎姿态的目的。本发明通过将颈椎的弯曲数据进行实时输出显示，能够使得使用者明确其颈椎的当前姿态，进而根据当前姿态进行调整改变，最终使得使用者能够将颈椎调整至标准姿态，从而达到纠正颈椎姿态的技术效果。二者，在使用者根据弯曲数据对其颈椎姿态进行动态调整时，使用者需要经过多次姿态改变才能够将脊柱姿态调整至标准姿态，该过程是一个缓慢重复的过程，使得使用者在该过程中能够充分缓解颈椎的疲劳程度。Preferably, the cervical spine posture monitoring system based on the flexible bending sensor further includes a display terminal 11 . When the processor 5 generates the first alarm data, the display terminal 11 is configured to output and display the curvature data of the cervical vertebra in the form of text, image or sound. The curvature data of the cervical spine also includes the real-time curvature m of the cervical spine. Displaying the real-time curvature m of the cervical vertebra through the display terminal 11 allows the user to intuitively know the current posture of the cervical vertebra, thereby enabling the user to switch the cervical vertebra posture from the abnormal posture to the standard posture in response to the first alarm data. The difference between the current cervical spine posture and the standard posture is determined based on the real-time bending curvature m. Specifically, the first bending sensor 2 and the second bending sensor 3 may be butted to each other through an adhesive layer. The thickness of the adhesive layer is t. The real-time bending curvature m of the cervical spine can be calculated by the fourth calculation formula:

Among them, when the first bending sensor 2 is closer to the neck skin, ΔR ₁ represents the resistance value change of the second bending sensor 3 relative to the previous moment, and ΔR ₂ represents the first bending sensor 2 relative to the previous time. The amount of change in resistance value at time. K _s represents the sensitivity coefficient of the first bending sensor 2 and the second bending sensor 3 . R represents the initial resistance value of the first bending sensor 2 and the second bending sensor 3 in an unbent state. Outputting and displaying the bending data through the display terminal 11 can at least achieve the following technical effects: First, the prior art cervical spine posture monitoring system can remind the user to change in time by means of an alarm when monitoring excessive bending and deformation of the human spine. When changing the posture of the cervical spine, the user will twist the neck according to common movements such as swinging the head left and right, swinging the head up and down, etc. During this process, the user cannot determine the difference between the adjusted cervical spine posture and the standard posture of the cervical spine. For example, as shown in Fig. 4, the human cervical vertebra is composed of C1-C7 vertebral bodies, and clinically, the C7 vertebral body located at the lowest position is used as a positioning marker. When the skull bending angle α is equal to 30°, the cervical spine is in a standard posture. When the skull bending angle α is greater or less than 30°, the cervical spine is in an abnormal posture. When the user is in different sitting postures and changes the posture of the cervical spine by twisting the neck, it may cause the head bending angle α to be much smaller or larger than 30°, resulting in the cervical vertebrae still in a state of excessive bending, and thus failing to achieve The purpose of correcting the posture of the cervical spine. By outputting and displaying the bending data of the cervical vertebra in real time, the present invention enables the user to clarify the current posture of the cervical vertebra, and then adjusts and changes according to the current posture, and finally enables the user to adjust the cervical vertebra to the standard posture, so as to achieve the correct posture of the cervical vertebra. technical effect. Both, when the user dynamically adjusts the posture of the cervical spine according to the bending data, the user needs to change the posture several times to adjust the posture of the spine to the standard posture. During the process, the fatigue of the cervical spine can be fully relieved.

Preferably, when the processor 5 generates the first alarm data to trigger the user to adjust the posture of the cervical spine to the standard posture according to the bending data displayed on the display terminal 11, the processor 5 is configured so that the time when the user is in the standard posture is less than The second alarm data is generated when the threshold is set. The second alarm data can be transmitted to the vibration reminder/LED module 8 to trigger the vibration reminder/LED module 8 to vibrate or flash. Through the second alarm data, the user can be forced to keep his cervical spine posture in a standard posture for a long time, so that the user's cervical spine posture adjustment process can be strengthened, and the purpose of correcting the cervical spine posture can be achieved by forming a muscle memory.

It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the scope of the present invention. within the scope of protection of the invention. It should be understood by those skilled in the art that the description of the present invention and the accompanying drawings are illustrative rather than limiting to the claims. The protection scope of the present invention is defined by the claims and their equivalents.

Claims (5)

1. A cervical spine posture monitoring method based on a flexible bending sensor, comprising at least the following steps: Based on the data collector attached to the back of the user's neck, the curvature data of the cervical spine is obtained to determine the posture of the cervical spine. When the human cervical spine is tilted forward or backward, the data collector can be based on the fit with the back of the human neck. A bending deformation is generated, and the bending data is acquired based on the bending deformation, wherein the data collector can abut and contact the posterior neck corresponding to all the vertebral bodies, so that the shape of the data collector after the bending deformation can match the shape of the vertebral body. The curvature of the human cervical spine roughly matches; When it is determined that the posture of the cervical spine is in an abnormal posture based on the bending data, first alarm data is generated to remind the user. Determine that the posture of the cervical spine is in an abnormal posture, It is characterized in that, The bending data for determining the posture of the cervical spine at least includes first data RAW1 _n+1 and second data RAW2 _n+1 that can be used to characterize the bending deformation of the data collector, wherein the data collector is configured with In order to have at least a first bending sensor (2) for collecting the first data RAW1 _n+1 and a second bending sensor (3) for collecting the second data RAW2 _n+1 , in the data collection In the case that the device is fitted on the back of the user's neck, the distance between the first bending sensor (2) and the back of the user's neck can be greater than the distance between the second bending sensor (3) and the back of the user's neck; In the case where the cervical vertebrae are bent in the first direction so that the skull is displaced, the first data RAW1 _n+1 can be increased based on an increase in the amount of bending deformation of the first bending sensor (2) and the second data RAW1 n+1 The data RAW2 _n+1 can be reduced based on a reduction in the amount of bending deformation of the second bending sensor (3), or in the case where the cervical vertebrae are bent in a second direction opposite to the first direction to offset the skull , the first data RAW1 _n+1 can be reduced based on the reduction of the bending deformation of the first bending sensor (2) and the second data RAW2 _n+1 can be based on the bending of the second bending sensor (3) increase with the increase of the amount of deformation; the first alarm data is generated under the condition that the determination condition jointly determined based on the first data RAW1 _n+1 and the second data RAW2 _n+1 is satisfied; The determination of the judgment condition includes at least the following steps: Determine the first average value LTA1 of the first data RAW1 _n+1 and the second average value LTA2 of the second data RAW2 _n+1 based on the first calculation formula, respectively; Determine the first filtered data FD1 after the filtering of the first data RAW1 _n+1 and the second filtered data FD2 after the filtering of the second data RAW2 _n+1 based on the second calculation formula; Determine the first dynamic threshold DTA1 and the second dynamic threshold DTA2 respectively based on the third calculation formula; The first calculation formula is

Wherein, LTA _n+1 represents the average value of the first data or the second data up to the current moment, and LTA _n represents the average value of the first data or the second data up to the previous moment; The second calculation formula is FD _n+1 =FD _n *(β-1)+RAW _n+1 *β, where FD _n+1 represents the filtered first data or the second data at the current moment. , where FD _n represents the filtered data of the first data or the second data at the last moment, and β is the filter coefficient; The third calculation formula is DTA=LTA+Delta, where Delta is an empirical parameter; The cervical spine posture monitoring method further includes the following steps: Based on the first calculation formula, the second calculation formula and the third calculation formula, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filter data FD2, the first dynamic threshold DTA1 and the second dynamic threshold DTA2 are updated; When the second filter data FD2 is smaller than the second dynamic threshold DTA2, and the first filtered data FD1 is larger than the first dynamic threshold DTA1, first alarm data is generated. 2 . The cervical spine posture monitoring method according to claim 1 , wherein the data collector at least comprises an electrode patch ( 1 ) as a bearing substrate and an electrode patch ( 1 ) arranged on the electrode patch ( 1 ) for The first bending sensor (2) for collecting the first data RAW1 _n+1 and the second bending sensor (3) for collecting the second data RAW2 _n+1 , the first bending sensor (2 ) and the second bending sensor (3) stacked on each other can be arranged in such a way that the distance between the first bending sensor (2) and the electrode patch (1) is greater than the distance between the second bending sensor (3) and the electrode patch (1) On the first surface (1b) of the electrode patch (1), wherein: The second surface (1a) of the electrode patch (1) is configured to have an adhesive working mode, so that the electrode patch (1) can fit on the back of the user's neck. 3. cervical vertebra posture monitoring method according to claim 2, is characterized in that, described bending data also comprises the real-time flexural curvature m of cervical vertebra, described cervical vertebra posture monitoring method also comprises the steps: The display terminal (11) configured to output the display of the real-time bending curvature m, so that the user can switch his cervical spine posture from the abnormal posture to the standard posture in response to the first alarm data based on the the real-time bending curvature m identifies the difference between the current cervical spine posture and the standard posture, and The second alarm data is generated when the time that the user is in the standard posture is less than the set threshold. 4. A cervical spine posture monitoring system based on a flexible bending sensor, comprising at least: Data collector, the data collector that fits on the back of the user's neck obtains the curvature data of the cervical spine to determine the posture of the cervical spine. When the human cervical spine is tilted forward or backward, the data collector can be based on the back of the human neck. The bending deformation is generated by fitting, and the bending data is obtained based on the bending deformation, wherein the data collector can be in contact with the posterior neck corresponding to all the vertebral bodies, so that the data collector generates the bending deformation. The shape can roughly match the curvature of the human cervical spine; The processor (5), in the case of determining that the posture of the cervical vertebra is in an abnormal posture based on the bending data, generates first alarm data to remind the user, wherein the cervical vertebra of the human body is tilted forward or backward so that the head offset angle is greater than the set angle. In the case of a fixed angle, it is determined that the posture of the cervical spine is in an abnormal posture. It is characterized in that, The bending data for determining the posture of the cervical spine at least includes first data RAW1 _n+1 and second data RAW2 _n+1 that can be used to characterize the bending deformation of the data collector, wherein the data collector is configured with In order to have at least a first bending sensor (2) for collecting the first data RAW1 _n+1 and a second bending sensor (3) for collecting the second data RAW2 _n+1 , in the data collection In the case that the device is fitted on the back of the user's neck, the distance between the first bending sensor (2) and the back of the user's neck can be greater than the distance between the second bending sensor (3) and the back of the user's neck; In the case where the cervical vertebrae are bent in the first direction so that the skull is displaced, the first data RAW1 _n+1 can be increased based on an increase in the amount of bending deformation of the first bending sensor (2) and the second data RAW1 n+1 The data RAW2 _n+1 can be reduced based on a reduction in the amount of bending deformation of the second bending sensor (3), or in the case where the cervical vertebrae are bent in a second direction opposite to the first direction to offset the skull , the first data RAW1 _n+1 can be reduced based on the reduction of the bending deformation of the first bending sensor (2) and the second data RAW2 _n+1 can be based on the bending of the second bending sensor (3) increase with the increase of the amount of deformation; The first alarm data is generated under the condition that a determination condition jointly determined based on the first data RAW1 _n+1 and the second data RAW2 _n+1 is satisfied; the processor (5) is configured to The determination conditions are determined as follows: Determine the first average value LTA1 of the first data RAW1 _n+1 and the second average value LTA2 of the second data RAW2 _n+1 based on the first calculation formula, respectively; Determine the first filtered data FD1 after the filtering of the first data RAW1 _n+1 and the second filtered data FD2 after the filtering of the second data RAW2 _n+1 based on the second calculation formula; Determine the first dynamic threshold DTA1 and the second dynamic threshold DTA2 respectively based on the third calculation formula; The first calculation formula is

Wherein, LTA _n+1 represents the average value of the first data or the second data up to the current moment, and LTA _n represents the average value of the first data or the second data up to the previous moment; The second calculation formula is FD _n+1 =FD _n *(β-1)+RAW _n+1 *β, where FD _n+1 represents the filtered first data or the second data at the current moment. , where FD _n represents the filtered data of the first data or the second data at the last moment, and β is the filter coefficient; The third calculation formula is DTA=LTA+Delta, where Delta is an empirical parameter; The cervical spine posture monitoring method further includes the following steps: Based on the first calculation formula, the second calculation formula and the third calculation formula, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filter data FD2, the first dynamic threshold DTA1 and the second dynamic threshold DTA2 are updated; When the second filter data FD2 is smaller than the second dynamic threshold DTA2, and the first filtered data FD1 is larger than the first dynamic threshold DTA1, first alarm data is generated. 5. The cervical spine posture monitoring system according to claim 4, wherein the cervical spine posture monitoring system further comprises at least an analog-to-digital converter (4a) and a voltage follower (4b) connected to the data collector. The data sampling circuit (4), the data collector and the data sampling circuit (4) are connected as follows: The voltage follower (4b) is arranged in series between the data collector and the analog-to-digital converter (4a) to reduce the influence of the input impedance of the analog-to-digital converter (4a) on data sampling.

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